gpCreate: Create a GP model with inducing variables/pseudo-inputs.

In gptk: Gaussian Processes Tool-Kit

Description

Creates a Gaussian process model structure with default parameter settings as specified by the options vector.

Usage

gpCreate(q, d, X, y, options)

Arguments

q	input data dimension.
d	the number of processes (i.e. output data dimension).
X	the input data matrix.
y	the target (output) data.
options	options structure as defined by gpOptions.R.

Value

model

model structure containing the Gaussian process.

See Also

gpOptions.

Examples

## missing

Example output

Loading required package: Matrix
Loading required package: fields
Loading required package: spam
Loading required package: dotCall64
Loading required package: grid
Spam version 2.1-1 (2017-07-02) is loaded.
Type 'help( Spam)' or 'demo( spam)' for a short introduction 
and overview of this package.
Help for individual functions is also obtained by adding the
suffix '.spam' to the function name, e.g. 'help( chol.spam)'.

Attaching package: 'spam'

The following objects are masked from 'package:base':

    backsolve, forwardsolve

Loading required package: maps

gptk documentation built on May 2, 2019, 3:27 p.m.